Senior System Software Architect, Autonomous Vehicles

NVIDIA AI; Pune District; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

NVIDIA AI in Pune is seeking a Senior Systems Software Engineer to help build a scalable ADAS software stack with a strong software-architecture foundation. You will drive performance, modularity, and cross-layer integration across multiple OEMs and product lines.

You will design boundaries between components with a performance-first mindset, refactor ADAS modules for reuse, and partner with software, systems and hardware teams to improve integration velocity.

Qualifications

• B.Tech./M.Tech in Computer Engineering/CS or equivalent experience.
• 8+ years of professional software development experience.
• Solid background in C++ programming.
• Strong understanding of modular software architecture and clean code design.
• Hands-on experience building multithreaded, real-time, or performance-critical systems.
• Familiarity with Linux, QNX or other embedded RTOS environments.
• Exceptional communication skills and a collaborative attitude.
• Experience using Git and Bazel in large-scale software environments.

Responsibilities

• Driving architectural improvements that simplify and modularize the software stack.
• Designing and developing clean boundaries between components with a performance-first approach.
• Refactoring ADAS components to support reuse, extensibility, and long-term maintainability.
• Partnering with teams across software, systems, and hardware to improve integration velocity.
• Establishing test coverage, design reviews, and architectural documentation for scaling.
• Profiling and tuning system performance for multi-core and real-time environments.

Skills

C++ programming

Multithreaded real-time systems

Modular software architecture

Linux / QNX embedded RTOS

Strong communication

Performance optimization

Software design principles

Collaboration

Education

B.Tech./M.Tech in Computer Engineering/CS

Tools

Git

Bazel

Job description

Job Requisition ID

JR2023578

Job Category

Engineering

Time Type

Full time

Our Autonomous Vehicles Platform team is responsible for building a scalable and modular software stack that powers advanced driver-assistance systems across a diverse range of product lines and OEMs. We are looking for a highly motivated Senior Systems Software Engineer with a strong foundation in software architecture. This role is ideal for someone who thrives on working across multiple layers of the software stack to analyze performance, inter-operation and deterministic execution flows. You will play a key role in evolving the platform to support efficient integration and scalability in a complex multi-OEM environment.

What You Will Be Doing

• Driving architectural improvements that simplify and modularize the software stack.
• Designing and developing clean boundaries between components with performance-first approach to software modules.
• Refactoring ADAS components to support reuse, extensibility, and long-term maintainability.
• Partnering with teams across software, systems, and hardware to define clear interfaces and improve integration velocity.
• Establishing test coverage, design reviews, and architectural documentation that scales with the platform.
• Profiling and tuning system performance — optimizing for modern multi-core and real-time environments.

What We Need To See

• B.Tech. or M.Tech. in Computer Engineering, Computer Science, or a related field (or equivalent experience).
• 8+ years of professional software development experience.
• Solid background in C++ programming.
• Strong understanding of modular software architecture, clean code design, and separation of concerns.
• Hands-on experience building and debugging multithreaded, real-time, or performance-critical systems.
• Familiarity with parallel/distributed systems and low-level system profiling.
• Comfortable working in Linux, QNX, or other embedded RTOS environments.
• Exceptional communication skills and a collaborative, hard-working attitude.

Ways To Stand Out From The Crowd

• Experience developing ADAS software — especially in components like Planning, Sensor Fusion, Mapping, or Localization.
• Deep understanding of real-time operating systems, particularly QNX.
• Familiarity with the automotive software lifecycle and integration across safety-critical systems.
• Experience with memory management, DMA engines, and hardware abstraction layers (HAL).
• Experience using Git and Bazel in large-scale software environments

#AutonomousVehicles